ZACH DE GREGORIO
www.WolvesAndFinance.com
So to start off, what is financial engineering? It is using financial tools and techniques to make your resources more effective. Now that sounds a little vague, so I’m going to give you three key concepts that make this very simple to understand.
Concept 1: Everyone exists on a scale of financial maturity
So there is a scale, and on one end is low financial maturity and on the other end is high financial maturity. Let’s start on the low end. The starting point when you talk about finances is cash. A business that uses only cash. What is one tool you can use to better manage your cash? You could use a budget. A budget is a financial tool, to help you better track and manage your money. And by putting a budget in place, you have just taken a step up in financial maturity. And this continues on. You can have a checking account and savings account. You can have investment plans. You can have insurance. You can have a credit card. That increases your overall buying power. You can have a business loan. You can have annual audited financial statements. You can have internal controls. You can issue stock. You can use financial derivatives. This isn’t a comprehensive list and I’m not going to go through all of these. I just want to give you an idea, that there is this scale of financial maturity, from low to high.
Concept 2: Everyone can always improve their financial maturity
I don’t care what business you are, you can always improve to higher levels of maturity. You might be in a large business or a small business. It doesn’t matter. See if you can identify where you fall on the scale of financial maturity, and what tools and techniques you can use to take the next step. And I’m not advocating that every business should leap frog all the way to a super mature accounting department. That might not be right for your business. What I am saying is to always be aware of the next step to push your business forward.
Concept 3 is the reason why.
Concept 3: Increasing financial maturity improves your resource effectiveness
This means more money. The farther along you are on the scale of financial maturity, you make more money. Let’s go back to the example of moving from cash to using a budget. When you start managing your money better, each dollar you have is going to become more effective. It’s like you have more money, because your cash is no longer flying around everywhere. And the same concept goes for all the other tools. Credit cards increase your buying power. Derivatives mitigate risk and free up capital. All these tools are designed to give you more money.
Concept 4: Everyone can do financial engineering.
When people hear the phrase “financial engineering” they get intimidated. They don’t know what it means. It seems scary. Finance and accounting are really confusing. But here is the thing. You are already doing it. You are somewhere on this scale. So I always encourage people to go out and learn as much as you can about this stuff. Everyone can do it. And the reward, is more money.
So I also have a message specifically for accountants. This is one of those areas where you can really add value to your organization as an accountant. If you look at your organization and identify where you sit on this scale of financial maturity. You can then find ways to push your organization to higher levels, and that will really add value to your business.
Neither Zach De Gregorio or Wolves and Finance Inc. shall be liable for any damages related to information in this video. It is recommended you contact a CPA in your area for business advice.

published:12 Mar 2017

views:14087

What kind of people does financial engineering program look for?
What skills and background I should have in order to apply?
How should I prepare in order to have a better chance?
Does my personality match?
Related video: Financial Engineering explained in 5 minutes
https://www.youtube.com/watch?v=XU1am_cc2Rc

published:02 Feb 2017

views:12843

What is financial engineering?
What do financial engineers do?
Why financial crisis?
Want to see how to prepare for a master's program in financial engineering? Plz go here:
https://www.youtube.com/watch?v=bpSTah-1FP8

published:12 Jun 2013

views:46083

We are making breakthroughs almost weekly in our understanding of cancer and other deadly diseases, both in how to treat and – in some cases – how to cure them. So why is funding for early stage biomedical research and development declining just when we need it most? One answer is that the financial risk of drug development has increased, and investors don’t like risk. What if we could reduce the risk and increase the reward through financial engineering? By applying tools like portfolio theory, securitization, and derivative securities to construct “megafunds” that invest in many biomedical projects, we can tap into the power of global financial markets to raise billions of dollars. If structured properly, investors can earn attractive returns with tolerable levels of risk, and many more patients can get the drugs they desperately need. Finance doesn’t have to be a zero-sum game; we can do well by doing good if we have sufficient scale.
Andrew W. Lo is the Charles E. and Susan T. HarrisProfessor at the MIT Sloan School of Management, the director of MIT’s Laboratory for Financial Engineering, a principal investigator at MIT’s Computer Science and Artificial Intelligence Lab, and an affiliated faculty member of the MIT Department of Electrical Engineering and Computer Science.
Andrew is the author of five books and over 100 research articles. His early work showed that stock market prices do not follow random walks, as many economic theories imply, but contain predictable components that can be identified and exploited to manage risk and improved expected returns. Since then, his research has spanned many other areas, including: the econometrics of hedge funds; mathematical and statistical models of systemic risk in the financial system; evolutionary models of human behavior; and, most recently, applying financial engineering to fund biomedical innovation more efficiently.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx

published:21 Oct 2015

views:26966

What isFINANCIAL ENGINEERING? What does FINANCIAL ENGINEERING mean? FINANCIAL ENGINEERING meaning - FINANCIAL ENGINEERING definition - FINANCIAL ENGINEERING explanation.
Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license.
Financial engineering is a multidisciplinary field involving financial theory, the methods of engineering, the tools of mathematics and the practice of programming. It has also been defined as the application of technical methods, especially from mathematical finance and computational finance, in the practice of finance. Despite its name, financial engineering does not belong to any of the fields in traditional engineering even though many financial engineers have studied engineering beforehand and many universities offering a postgraduate degree in this field require applicants to have a background in engineering as well. In theUnited States, the Accreditation Board for Engineering and Technology (ABET) does not accredit financial engineering degrees. In the United States, financial engineering programs are accredited by the International Association of Quantitative Finance.
Financial engineering draws on tools from applied mathematics, computer science, statistics and economic theory. In broadest definition, anyone who uses technical tools in finance could be called a financial engineer, for example any computer programmer in a bank or any statistician in a government economic bureau. However, most practitioners restrict the term to someone educated in the full range of tools of modern finance and whose work is informed by financial theory. It is sometimes restricted even further, to cover only those originating new financial products and strategies. Financial engineering plays a key role in the customer-driven derivatives business which encompasses quantitative modelling and programming, trading and risk managing derivative products in compliance with the regulations and Basel capital/liquidity requirements.
The financial engineering program at New York UniversityPolytechnic School of Engineering was the first curriculum to be certified by the International Association of Financial Engineers.
Computational finance and mathematical finance are both subfields of financial engineering. Computational finance is a field in computer science and deals with the data and algorithms that arise in financial modeling. Mathematical finance is the application of theoretical mathematics to finance.
Quant is a broad term that covers any person who uses math for practical purposes, including financial engineers. Quant is often taken to mean “financial quant,” in which case it is similar to financial engineer. The difference is that it is possible to be a theoretical quant, or a quant in only one specialized niche in finance, while “financial engineer” usually implies a practitioner with broad expertise.
“Rocket scientist” is an older term reserved for the first generation of financial quants who arrived on Wall Street in the late 1970s and early 1980s. While basically synonymous with financial engineer, it implies adventurousness and fondness for disruptive innovation. Rocket scientists were usually trained in applied mathematics, statistics or finance; and spent their entire careers in risk-taking. They were not hired for their mathematical talents, they either worked for themselves or applied mathematical techniques to traditional financial jobs. The later generation of financial engineers were more likely to have PhDs in mathematics or physics and often started their careers in academics or non-financial fields.
The first degree programs in financial engineering were set up in the early 1990s. The number and size of programs has grown rapidly, so now some people use the term “financial engineer” to mean someone who has a degree in the field.
An older use of the term "financial engineering" that is less common today is aggressive restructuring of corporate balance sheets. It is generally (but not always) a disparaging term, implying that someone is profiting from paper games at the expense of employees and investors.

ZACH DE GREGORIO, CPA
www.WolvesAndFinance.com
In this video, I am going to walk through two examples that are a little bit more advanced. This video is really about giving you insight into what is possible with Accounting and Corporate Finance.
But before we jump into the example, I want to talk a little bit more about the name. Financial Engineering. This term came about, because somebody decided to combine the words “Finance” and “Engineering” to create Financial Engineering. And the whole idea here is that Finance professionals can design a company the same way an Engineering designs a machine.
Now I bring up the term, because unfortunately, Financial Engineering has developed a negative connotation. Because what most people see, is finance professionals walking into a company somewhere. And what these financial professionals do, is radically restructure the financial statements. So they take the financial statements and flip them around, and turn them inside out, and restructure the company. And when the financial professionals walk out, the stock price doubles. However, nothing about the operations of the company has actually changed. The only thing that is different is these pieces of paper. In fact, these changes on pieces of paper are actually creating a lot of value for everyone involved in the company, and that is what I’m going to explain. I explain an example of restructuring a company. Your accounting is a product. You are selling this accounting product to investors. You need to be as thoughtful with the accounting you are presenting to your investors, as you are with the product you are presenting to your customers. I know that a lot of business owners spend a lot of time thinking about whether their products are meeting their customer’s needs. Well you have to also think whether your accounting is meeting your investor’s needs.
Now there are a couple of warnings to this example. I am not advocating that you split every business apart. Please be aware these examples are not one-size fits all. Every business is different, so you have to be very thoughtful about Financial Engineering. There might be very good reasons to keep the business together rather than split it apart. Second, I make this sound very easy, and this is not easy at all. At the very least, you are going to have to go through your last three years of accounting records and split apart the two businesses. This is not an easy task.
Now you might think to yourself, my company is too small, this doesn’t apply to me. But if you understand financial engineering, you can think 10 years ahead and set up your accounting to get the biggest bang for your buck when your company is large enough.
A massive company restructuring is a dramatic example of Financial Engineering. Let me switch to a more common example. Pricing. Pricing is a very difficult topic. A lot of businesses set their pricing with their gut. However, pricing can be done more effectively by taking a methodical financial engineering approach, and using advanced mathematics and statistics to set your prices. And in fact, this is what most major companies do. You can set up mathematical models. You can use statistics. You can use algorithms programmed into computer software to help you in your pricing decisions.
So these are just two examples of Financial Engineering. More and more, this is what accounting looks like at the highest levels. Financial Engineering is about using all the financial tools and techniques at your disposal, to create the most value in our businesses.
Neither Zach De Gregorio or Wolves and Finance Inc. shall be liable for any damages related to information in this video. It is recommended you contact a CPA in your area for business advice.

published:19 Mar 2017

views:5831

published:27 Jul 2015

views:23715

Talk by Dr. Emanuel Derman, Professor at Columbia University, and author of "My Life As A Quant" and "Models.Behaving.Badly: Why Confusing Illusion with Reality Can Lead to Disasters, On Wall Street and in Life." From QuantCon NYC 2016.
Neoclassical finance has been with us for over half a century, and its methods have become somewhat uncritically ingrained in the minds of quants. From mean-variance optimization to options theory to behavioral finance, Dr. Derman will discuss which of these ideas work better, and which don’t.
To learn more about Quantopian, visit us at: https://www.quantopian.com.
-------
Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice.
More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian.
In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.

Financial engineering draws on tools from applied mathematics, computer science, statistics and economic theory.
In broadest definition, anyone who uses technical tools in finance could be called a financial engineer, for example any computer programmer in a bank or any statistician in a government economic bureau. However, most practitioners restrict the term to someone educated in the full range of tools of modern finance and whose work is informed by financial theory. It is sometimes restricted even further, to cover only those originating new financial products and strategies.

The discipline of engineering is extremely broad, and encompasses a range of more specialized fields of engineering, each with a more specific emphasis on particular areas of applied science, technology and types of application.

The term Engineering is derived from the Latiningenium, meaning "cleverness" and ingeniare, meaning "to contrive, devise".

Definition

History

Engineering has existed since ancient times as humans devised fundamental inventions such as the wedge, lever, wheel, and pulley. Each of these inventions is essentially consistent with the modern definition of engineering.

Risk management

Risk management is the identification, assessment, and prioritization of risks (defined in ISO 31000 as the effect of uncertainty on objectives) followed by coordinated and economical application of resources to minimize, monitor, and control the probability and/or impact of unfortunate events or to maximize the realization of opportunities. Risk management’s objective is to assure uncertainty does not deflect the endeavor from the business goals.

Risks can come from various sources: e.g., uncertainty in financial markets, threats from project failures (at any phase in design, development, production, or sustainment life-cycles), legal liabilities, credit risk, accidents, natural causes and disasters as well as deliberate attack from an adversary, or events of uncertain or unpredictable root-cause. There are two types of events i.e. negative events can be classified as risks while positive events are classified as opportunities. Several risk management standards have been developed including the Project Management Institute, the National Institute of Standards and Technology, actuarial societies, and ISO standards. Methods, definitions and goals vary widely according to whether the risk management method is in the context of project management, security, engineering, industrial processes, financial portfolios, actuarial assessments, or public health and safety.

Wall Street

Wall Street is a 0.7-mile-long (1.1km) street running eight blocks, roughly northwest to southeast, from Broadway to South Street on the East River in the Financial District of Lower Manhattan, New York City. Over time, the term has become a metonym for the financial markets of the United States as a whole, the American financial sector (even if financial firms are not physically located there), or signifying New York-based financial interests.

History

Early years

There are varying accounts about how the Dutch-named "de Waal Straat" got its name. A generally accepted version is that the name of the street was derived from an earthen wall on the northern boundary of the New Amsterdam settlement, perhaps to protect against English colonial encroachment or incursions by Native Americans. A conflicting explanation is that Wall Street was named after Walloons— the Dutch name for a Walloon is Waal. Among the first settlers that embarked on the ship "Nieu Nederlandt" in 1624 were 30 Walloon families. The Dutch word "wal" can be translated as "rampart". However, even some English maps show the name as Waal Straat, and not as Wal Straat.

Derman, who first came to the U.S. at age 20, in 1964, is currently a professor at Columbia University and Director of its program in financial engineering, and is also the Head of Risk and a partner at Prisma Capital Partners, a fund of funds. His book My Life as a Quant: Reflections on Physics and Finance, published by Wiley in September 2004, was one of Business Week's top ten books of the year for 2004. In 2011, he published "Models.Behaving.Badly," a book contrasting financial models with the theories of hard science, and also containing some autobiographical material.

What is Financial Engineering?

ZACH DE GREGORIO
www.WolvesAndFinance.com
So to start off, what is financial engineering? It is using financial tools and techniques to make your resources more effective. Now that sounds a little vague, so I’m going to give you three key concepts that make this very simple to understand.
Concept 1: Everyone exists on a scale of financial maturity
So there is a scale, and on one end is low financial maturity and on the other end is high financial maturity. Let’s start on the low end. The starting point when you talk about finances is cash. A business that uses only cash. What is one tool you can use to better manage your cash? You could use a budget. A budget is a financial tool, to help you better track and manage your money. And by putting a budget in place, you have just taken a step up in financial maturity. And this continues on. You can have a checking account and savings account. You can have investment plans. You can have insurance. You can have a credit card. That increases your overall buying power. You can have a business loan. You can have annual audited financial statements. You can have internal controls. You can issue stock. You can use financial derivatives. This isn’t a comprehensive list and I’m not going to go through all of these. I just want to give you an idea, that there is this scale of financial maturity, from low to high.
Concept 2: Everyone can always improve their financial maturity
I don’t care what business you are, you can always improve to higher levels of maturity. You might be in a large business or a small business. It doesn’t matter. See if you can identify where you fall on the scale of financial maturity, and what tools and techniques you can use to take the next step. And I’m not advocating that every business should leap frog all the way to a super mature accounting department. That might not be right for your business. What I am saying is to always be aware of the next step to push your business forward.
Concept 3 is the reason why.
Concept 3: Increasing financial maturity improves your resource effectiveness
This means more money. The farther along you are on the scale of financial maturity, you make more money. Let’s go back to the example of moving from cash to using a budget. When you start managing your money better, each dollar you have is going to become more effective. It’s like you have more money, because your cash is no longer flying around everywhere. And the same concept goes for all the other tools. Credit cards increase your buying power. Derivatives mitigate risk and free up capital. All these tools are designed to give you more money.
Concept 4: Everyone can do financial engineering.
When people hear the phrase “financial engineering” they get intimidated. They don’t know what it means. It seems scary. Finance and accounting are really confusing. But here is the thing. You are already doing it. You are somewhere on this scale. So I always encourage people to go out and learn as much as you can about this stuff. Everyone can do it. And the reward, is more money.
So I also have a message specifically for accountants. This is one of those areas where you can really add value to your organization as an accountant. If you look at your organization and identify where you sit on this scale of financial maturity. You can then find ways to push your organization to higher levels, and that will really add value to your business.
Neither Zach De Gregorio or Wolves and Finance Inc. shall be liable for any damages related to information in this video. It is recommended you contact a CPA in your area for business advice.

5:43

Is Financial Engineering program for Me? In 5 minutes

Is Financial Engineering program for Me? In 5 minutes

Is Financial Engineering program for Me? In 5 minutes

What kind of people does financial engineering program look for?
What skills and background I should have in order to apply?
How should I prepare in order to have a better chance?
Does my personality match?
Related video: Financial Engineering explained in 5 minutes
https://www.youtube.com/watch?v=XU1am_cc2Rc

5:30

Financial engineering explained in 5 minutes

Financial engineering explained in 5 minutes

Financial engineering explained in 5 minutes

What is financial engineering?
What do financial engineers do?
Why financial crisis?
Want to see how to prepare for a master's program in financial engineering? Plz go here:
https://www.youtube.com/watch?v=bpSTah-1FP8

20:30

Can Financial Engineering Cure Cancer? | Andrew Lo | TEDxCambridge

Can Financial Engineering Cure Cancer? | Andrew Lo | TEDxCambridge

Can Financial Engineering Cure Cancer? | Andrew Lo | TEDxCambridge

We are making breakthroughs almost weekly in our understanding of cancer and other deadly diseases, both in how to treat and – in some cases – how to cure them. So why is funding for early stage biomedical research and development declining just when we need it most? One answer is that the financial risk of drug development has increased, and investors don’t like risk. What if we could reduce the risk and increase the reward through financial engineering? By applying tools like portfolio theory, securitization, and derivative securities to construct “megafunds” that invest in many biomedical projects, we can tap into the power of global financial markets to raise billions of dollars. If structured properly, investors can earn attractive returns with tolerable levels of risk, and many more patients can get the drugs they desperately need. Finance doesn’t have to be a zero-sum game; we can do well by doing good if we have sufficient scale.
Andrew W. Lo is the Charles E. and Susan T. HarrisProfessor at the MIT Sloan School of Management, the director of MIT’s Laboratory for Financial Engineering, a principal investigator at MIT’s Computer Science and Artificial Intelligence Lab, and an affiliated faculty member of the MIT Department of Electrical Engineering and Computer Science.
Andrew is the author of five books and over 100 research articles. His early work showed that stock market prices do not follow random walks, as many economic theories imply, but contain predictable components that can be identified and exploited to manage risk and improved expected returns. Since then, his research has spanned many other areas, including: the econometrics of hedge funds; mathematical and statistical models of systemic risk in the financial system; evolutionary models of human behavior; and, most recently, applying financial engineering to fund biomedical innovation more efficiently.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx

4:30

What is FINANCIAL ENGINEERING? What does FINANCIAL ENGINEERING mean? FINANCIAL ENGINEERING meaning

What is FINANCIAL ENGINEERING? What does FINANCIAL ENGINEERING mean? FINANCIAL ENGINEERING meaning

What is FINANCIAL ENGINEERING? What does FINANCIAL ENGINEERING mean? FINANCIAL ENGINEERING meaning

What isFINANCIAL ENGINEERING? What does FINANCIAL ENGINEERING mean? FINANCIAL ENGINEERING meaning - FINANCIAL ENGINEERING definition - FINANCIAL ENGINEERING explanation.
Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license.
Financial engineering is a multidisciplinary field involving financial theory, the methods of engineering, the tools of mathematics and the practice of programming. It has also been defined as the application of technical methods, especially from mathematical finance and computational finance, in the practice of finance. Despite its name, financial engineering does not belong to any of the fields in traditional engineering even though many financial engineers have studied engineering beforehand and many universities offering a postgraduate degree in this field require applicants to have a background in engineering as well. In theUnited States, the Accreditation Board for Engineering and Technology (ABET) does not accredit financial engineering degrees. In the United States, financial engineering programs are accredited by the International Association of Quantitative Finance.
Financial engineering draws on tools from applied mathematics, computer science, statistics and economic theory. In broadest definition, anyone who uses technical tools in finance could be called a financial engineer, for example any computer programmer in a bank or any statistician in a government economic bureau. However, most practitioners restrict the term to someone educated in the full range of tools of modern finance and whose work is informed by financial theory. It is sometimes restricted even further, to cover only those originating new financial products and strategies. Financial engineering plays a key role in the customer-driven derivatives business which encompasses quantitative modelling and programming, trading and risk managing derivative products in compliance with the regulations and Basel capital/liquidity requirements.
The financial engineering program at New York UniversityPolytechnic School of Engineering was the first curriculum to be certified by the International Association of Financial Engineers.
Computational finance and mathematical finance are both subfields of financial engineering. Computational finance is a field in computer science and deals with the data and algorithms that arise in financial modeling. Mathematical finance is the application of theoretical mathematics to finance.
Quant is a broad term that covers any person who uses math for practical purposes, including financial engineers. Quant is often taken to mean “financial quant,” in which case it is similar to financial engineer. The difference is that it is possible to be a theoretical quant, or a quant in only one specialized niche in finance, while “financial engineer” usually implies a practitioner with broad expertise.
“Rocket scientist” is an older term reserved for the first generation of financial quants who arrived on Wall Street in the late 1970s and early 1980s. While basically synonymous with financial engineer, it implies adventurousness and fondness for disruptive innovation. Rocket scientists were usually trained in applied mathematics, statistics or finance; and spent their entire careers in risk-taking. They were not hired for their mathematical talents, they either worked for themselves or applied mathematical techniques to traditional financial jobs. The later generation of financial engineers were more likely to have PhDs in mathematics or physics and often started their careers in academics or non-financial fields.
The first degree programs in financial engineering were set up in the early 1990s. The number and size of programs has grown rapidly, so now some people use the term “financial engineer” to mean someone who has a degree in the field.
An older use of the term "financial engineering" that is less common today is aggressive restructuring of corporate balance sheets. It is generally (but not always) a disparaging term, implying that someone is profiting from paper games at the expense of employees and investors.

Financial Engineering Examples

ZACH DE GREGORIO, CPA
www.WolvesAndFinance.com
In this video, I am going to walk through two examples that are a little bit more advanced. This video is really about giving you insight into what is possible with Accounting and Corporate Finance.
But before we jump into the example, I want to talk a little bit more about the name. Financial Engineering. This term came about, because somebody decided to combine the words “Finance” and “Engineering” to create Financial Engineering. And the whole idea here is that Finance professionals can design a company the same way an Engineering designs a machine.
Now I bring up the term, because unfortunately, Financial Engineering has developed a negative connotation. Because what most people see, is finance professionals walking into a company somewhere. And what these financial professionals do, is radically restructure the financial statements. So they take the financial statements and flip them around, and turn them inside out, and restructure the company. And when the financial professionals walk out, the stock price doubles. However, nothing about the operations of the company has actually changed. The only thing that is different is these pieces of paper. In fact, these changes on pieces of paper are actually creating a lot of value for everyone involved in the company, and that is what I’m going to explain. I explain an example of restructuring a company. Your accounting is a product. You are selling this accounting product to investors. You need to be as thoughtful with the accounting you are presenting to your investors, as you are with the product you are presenting to your customers. I know that a lot of business owners spend a lot of time thinking about whether their products are meeting their customer’s needs. Well you have to also think whether your accounting is meeting your investor’s needs.
Now there are a couple of warnings to this example. I am not advocating that you split every business apart. Please be aware these examples are not one-size fits all. Every business is different, so you have to be very thoughtful about Financial Engineering. There might be very good reasons to keep the business together rather than split it apart. Second, I make this sound very easy, and this is not easy at all. At the very least, you are going to have to go through your last three years of accounting records and split apart the two businesses. This is not an easy task.
Now you might think to yourself, my company is too small, this doesn’t apply to me. But if you understand financial engineering, you can think 10 years ahead and set up your accounting to get the biggest bang for your buck when your company is large enough.
A massive company restructuring is a dramatic example of Financial Engineering. Let me switch to a more common example. Pricing. Pricing is a very difficult topic. A lot of businesses set their pricing with their gut. However, pricing can be done more effectively by taking a methodical financial engineering approach, and using advanced mathematics and statistics to set your prices. And in fact, this is what most major companies do. You can set up mathematical models. You can use statistics. You can use algorithms programmed into computer software to help you in your pricing decisions.
So these are just two examples of Financial Engineering. More and more, this is what accounting looks like at the highest levels. Financial Engineering is about using all the financial tools and techniques at your disposal, to create the most value in our businesses.
Neither Zach De Gregorio or Wolves and Finance Inc. shall be liable for any damages related to information in this video. It is recommended you contact a CPA in your area for business advice.

Talk by Dr. Emanuel Derman, Professor at Columbia University, and author of "My Life As A Quant" and "Models.Behaving.Badly: Why Confusing Illusion with Reality Can Lead to Disasters, On Wall Street and in Life." From QuantCon NYC 2016.
Neoclassical finance has been with us for over half a century, and its methods have become somewhat uncritically ingrained in the minds of quants. From mean-variance optimization to options theory to behavioral finance, Dr. Derman will discuss which of these ideas work better, and which don’t.
To learn more about Quantopian, visit us at: https://www.quantopian.com.
-------
Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice.
More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian.
In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.

What is Financial Engineering?

ZACH DE GREGORIO
www.WolvesAndFinance.com
So to start off, what is financial engineering? It is using financial tools and techniques to make your resources more effective. Now that sounds a little vague, so I’m going to give you three key concepts that make this very simple to understand.
Concept 1: Everyone exists on a scale of financial maturity
So there is a scale, and on one end is low financial maturity and on the other end is high financial maturity. Let’s start on the low end. The starting point when you talk about finances is cash. A business that uses only cash. What is one tool you can use to better manage your cash? You could use a budget. A budget is a financial tool, to help you better track and manage your money. And by putting a budget in place, you have just taken a step u...

published: 12 Mar 2017

Is Financial Engineering program for Me? In 5 minutes

What kind of people does financial engineering program look for?
What skills and background I should have in order to apply?
How should I prepare in order to have a better chance?
Does my personality match?
Related video: Financial Engineering explained in 5 minutes
https://www.youtube.com/watch?v=XU1am_cc2Rc

published: 02 Feb 2017

Financial engineering explained in 5 minutes

What is financial engineering?
What do financial engineers do?
Why financial crisis?
Want to see how to prepare for a master's program in financial engineering? Plz go here:
https://www.youtube.com/watch?v=bpSTah-1FP8

published: 12 Jun 2013

Can Financial Engineering Cure Cancer? | Andrew Lo | TEDxCambridge

We are making breakthroughs almost weekly in our understanding of cancer and other deadly diseases, both in how to treat and – in some cases – how to cure them. So why is funding for early stage biomedical research and development declining just when we need it most? One answer is that the financial risk of drug development has increased, and investors don’t like risk. What if we could reduce the risk and increase the reward through financial engineering? By applying tools like portfolio theory, securitization, and derivative securities to construct “megafunds” that invest in many biomedical projects, we can tap into the power of global financial markets to raise billions of dollars. If structured properly, investors can earn attractive returns with tolerable levels of risk, and many more ...

published: 21 Oct 2015

What is FINANCIAL ENGINEERING? What does FINANCIAL ENGINEERING mean? FINANCIAL ENGINEERING meaning

What isFINANCIAL ENGINEERING? What does FINANCIAL ENGINEERING mean? FINANCIAL ENGINEERING meaning - FINANCIAL ENGINEERING definition - FINANCIAL ENGINEERING explanation.
Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license.
Financial engineering is a multidisciplinary field involving financial theory, the methods of engineering, the tools of mathematics and the practice of programming. It has also been defined as the application of technical methods, especially from mathematical finance and computational finance, in the practice of finance. Despite its name, financial engineering does not belong to any of the fields in traditional engineering even though many financial engineers have studied engineering beforehand and many universities off...

Financial Engineering Examples

ZACH DE GREGORIO, CPA
www.WolvesAndFinance.com
In this video, I am going to walk through two examples that are a little bit more advanced. This video is really about giving you insight into what is possible with Accounting and Corporate Finance.
But before we jump into the example, I want to talk a little bit more about the name. Financial Engineering. This term came about, because somebody decided to combine the words “Finance” and “Engineering” to create Financial Engineering. And the whole idea here is that Finance professionals can design a company the same way an Engineering designs a machine.
Now I bring up the term, because unfortunately, Financial Engineering has developed a negative connotation. Because what most people see, is finance professionals walking into a company somewh...

published: 19 Mar 2017

Columbia Engineering Masters Financial Engineering NYC

Talk by Dr. Emanuel Derman, Professor at Columbia University, and author of "My Life As A Quant" and "Models.Behaving.Badly: Why Confusing Illusion with Reality Can Lead to Disasters, On Wall Street and in Life." From QuantCon NYC 2016.
Neoclassical finance has been with us for over half a century, and its methods have become somewhat uncritically ingrained in the minds of quants. From mean-variance optimization to options theory to behavioral finance, Dr. Derman will discuss which of these ideas work better, and which don’t.
To learn more about Quantopian, visit us at: https://www.quantopian.com.
-------
Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice.
More specifically, the material is provided for infor...

"Financial Engineers" Vs. Real Engineers

Career in Financial Engineering or Quantitative Finance

Career in financial Engineering is lucrative, challenging and prestigious. Popularly known as quants, professionals in this disciplines comes primarily from highly quantitative backgrounds such as physics, computer science, mathematics, statistics, economics. Quants are highly paid professionals in banking and financial service companies. They are also one kind of data scientist.
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Kyle - Financial Engineer - Ontario Canada

What is Financial Engineering?

ZACH DE GREGORIO
www.WolvesAndFinance.com
So to start off, what is financial engineering? It is using financial tools and techniques to make your resources mor...

ZACH DE GREGORIO
www.WolvesAndFinance.com
So to start off, what is financial engineering? It is using financial tools and techniques to make your resources more effective. Now that sounds a little vague, so I’m going to give you three key concepts that make this very simple to understand.
Concept 1: Everyone exists on a scale of financial maturity
So there is a scale, and on one end is low financial maturity and on the other end is high financial maturity. Let’s start on the low end. The starting point when you talk about finances is cash. A business that uses only cash. What is one tool you can use to better manage your cash? You could use a budget. A budget is a financial tool, to help you better track and manage your money. And by putting a budget in place, you have just taken a step up in financial maturity. And this continues on. You can have a checking account and savings account. You can have investment plans. You can have insurance. You can have a credit card. That increases your overall buying power. You can have a business loan. You can have annual audited financial statements. You can have internal controls. You can issue stock. You can use financial derivatives. This isn’t a comprehensive list and I’m not going to go through all of these. I just want to give you an idea, that there is this scale of financial maturity, from low to high.
Concept 2: Everyone can always improve their financial maturity
I don’t care what business you are, you can always improve to higher levels of maturity. You might be in a large business or a small business. It doesn’t matter. See if you can identify where you fall on the scale of financial maturity, and what tools and techniques you can use to take the next step. And I’m not advocating that every business should leap frog all the way to a super mature accounting department. That might not be right for your business. What I am saying is to always be aware of the next step to push your business forward.
Concept 3 is the reason why.
Concept 3: Increasing financial maturity improves your resource effectiveness
This means more money. The farther along you are on the scale of financial maturity, you make more money. Let’s go back to the example of moving from cash to using a budget. When you start managing your money better, each dollar you have is going to become more effective. It’s like you have more money, because your cash is no longer flying around everywhere. And the same concept goes for all the other tools. Credit cards increase your buying power. Derivatives mitigate risk and free up capital. All these tools are designed to give you more money.
Concept 4: Everyone can do financial engineering.
When people hear the phrase “financial engineering” they get intimidated. They don’t know what it means. It seems scary. Finance and accounting are really confusing. But here is the thing. You are already doing it. You are somewhere on this scale. So I always encourage people to go out and learn as much as you can about this stuff. Everyone can do it. And the reward, is more money.
So I also have a message specifically for accountants. This is one of those areas where you can really add value to your organization as an accountant. If you look at your organization and identify where you sit on this scale of financial maturity. You can then find ways to push your organization to higher levels, and that will really add value to your business.
Neither Zach De Gregorio or Wolves and Finance Inc. shall be liable for any damages related to information in this video. It is recommended you contact a CPA in your area for business advice.

ZACH DE GREGORIO
www.WolvesAndFinance.com
So to start off, what is financial engineering? It is using financial tools and techniques to make your resources more effective. Now that sounds a little vague, so I’m going to give you three key concepts that make this very simple to understand.
Concept 1: Everyone exists on a scale of financial maturity
So there is a scale, and on one end is low financial maturity and on the other end is high financial maturity. Let’s start on the low end. The starting point when you talk about finances is cash. A business that uses only cash. What is one tool you can use to better manage your cash? You could use a budget. A budget is a financial tool, to help you better track and manage your money. And by putting a budget in place, you have just taken a step up in financial maturity. And this continues on. You can have a checking account and savings account. You can have investment plans. You can have insurance. You can have a credit card. That increases your overall buying power. You can have a business loan. You can have annual audited financial statements. You can have internal controls. You can issue stock. You can use financial derivatives. This isn’t a comprehensive list and I’m not going to go through all of these. I just want to give you an idea, that there is this scale of financial maturity, from low to high.
Concept 2: Everyone can always improve their financial maturity
I don’t care what business you are, you can always improve to higher levels of maturity. You might be in a large business or a small business. It doesn’t matter. See if you can identify where you fall on the scale of financial maturity, and what tools and techniques you can use to take the next step. And I’m not advocating that every business should leap frog all the way to a super mature accounting department. That might not be right for your business. What I am saying is to always be aware of the next step to push your business forward.
Concept 3 is the reason why.
Concept 3: Increasing financial maturity improves your resource effectiveness
This means more money. The farther along you are on the scale of financial maturity, you make more money. Let’s go back to the example of moving from cash to using a budget. When you start managing your money better, each dollar you have is going to become more effective. It’s like you have more money, because your cash is no longer flying around everywhere. And the same concept goes for all the other tools. Credit cards increase your buying power. Derivatives mitigate risk and free up capital. All these tools are designed to give you more money.
Concept 4: Everyone can do financial engineering.
When people hear the phrase “financial engineering” they get intimidated. They don’t know what it means. It seems scary. Finance and accounting are really confusing. But here is the thing. You are already doing it. You are somewhere on this scale. So I always encourage people to go out and learn as much as you can about this stuff. Everyone can do it. And the reward, is more money.
So I also have a message specifically for accountants. This is one of those areas where you can really add value to your organization as an accountant. If you look at your organization and identify where you sit on this scale of financial maturity. You can then find ways to push your organization to higher levels, and that will really add value to your business.
Neither Zach De Gregorio or Wolves and Finance Inc. shall be liable for any damages related to information in this video. It is recommended you contact a CPA in your area for business advice.

Is Financial Engineering program for Me? In 5 minutes

What kind of people does financial engineering program look for?
What skills and background I should have in order to apply?
How should I prepare in order to ...

What kind of people does financial engineering program look for?
What skills and background I should have in order to apply?
How should I prepare in order to have a better chance?
Does my personality match?
Related video: Financial Engineering explained in 5 minutes
https://www.youtube.com/watch?v=XU1am_cc2Rc

What kind of people does financial engineering program look for?
What skills and background I should have in order to apply?
How should I prepare in order to have a better chance?
Does my personality match?
Related video: Financial Engineering explained in 5 minutes
https://www.youtube.com/watch?v=XU1am_cc2Rc

Financial engineering explained in 5 minutes

What is financial engineering?
What do financial engineers do?
Why financial crisis?
Want to see how to prepare for a master's program in financial engineering...

What is financial engineering?
What do financial engineers do?
Why financial crisis?
Want to see how to prepare for a master's program in financial engineering? Plz go here:
https://www.youtube.com/watch?v=bpSTah-1FP8

What is financial engineering?
What do financial engineers do?
Why financial crisis?
Want to see how to prepare for a master's program in financial engineering? Plz go here:
https://www.youtube.com/watch?v=bpSTah-1FP8

Can Financial Engineering Cure Cancer? | Andrew Lo | TEDxCambridge

We are making breakthroughs almost weekly in our understanding of cancer and other deadly diseases, both in how to treat and – in some cases – how to cure them....

We are making breakthroughs almost weekly in our understanding of cancer and other deadly diseases, both in how to treat and – in some cases – how to cure them. So why is funding for early stage biomedical research and development declining just when we need it most? One answer is that the financial risk of drug development has increased, and investors don’t like risk. What if we could reduce the risk and increase the reward through financial engineering? By applying tools like portfolio theory, securitization, and derivative securities to construct “megafunds” that invest in many biomedical projects, we can tap into the power of global financial markets to raise billions of dollars. If structured properly, investors can earn attractive returns with tolerable levels of risk, and many more patients can get the drugs they desperately need. Finance doesn’t have to be a zero-sum game; we can do well by doing good if we have sufficient scale.
Andrew W. Lo is the Charles E. and Susan T. HarrisProfessor at the MIT Sloan School of Management, the director of MIT’s Laboratory for Financial Engineering, a principal investigator at MIT’s Computer Science and Artificial Intelligence Lab, and an affiliated faculty member of the MIT Department of Electrical Engineering and Computer Science.
Andrew is the author of five books and over 100 research articles. His early work showed that stock market prices do not follow random walks, as many economic theories imply, but contain predictable components that can be identified and exploited to manage risk and improved expected returns. Since then, his research has spanned many other areas, including: the econometrics of hedge funds; mathematical and statistical models of systemic risk in the financial system; evolutionary models of human behavior; and, most recently, applying financial engineering to fund biomedical innovation more efficiently.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx

We are making breakthroughs almost weekly in our understanding of cancer and other deadly diseases, both in how to treat and – in some cases – how to cure them. So why is funding for early stage biomedical research and development declining just when we need it most? One answer is that the financial risk of drug development has increased, and investors don’t like risk. What if we could reduce the risk and increase the reward through financial engineering? By applying tools like portfolio theory, securitization, and derivative securities to construct “megafunds” that invest in many biomedical projects, we can tap into the power of global financial markets to raise billions of dollars. If structured properly, investors can earn attractive returns with tolerable levels of risk, and many more patients can get the drugs they desperately need. Finance doesn’t have to be a zero-sum game; we can do well by doing good if we have sufficient scale.
Andrew W. Lo is the Charles E. and Susan T. HarrisProfessor at the MIT Sloan School of Management, the director of MIT’s Laboratory for Financial Engineering, a principal investigator at MIT’s Computer Science and Artificial Intelligence Lab, and an affiliated faculty member of the MIT Department of Electrical Engineering and Computer Science.
Andrew is the author of five books and over 100 research articles. His early work showed that stock market prices do not follow random walks, as many economic theories imply, but contain predictable components that can be identified and exploited to manage risk and improved expected returns. Since then, his research has spanned many other areas, including: the econometrics of hedge funds; mathematical and statistical models of systemic risk in the financial system; evolutionary models of human behavior; and, most recently, applying financial engineering to fund biomedical innovation more efficiently.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx

What isFINANCIAL ENGINEERING? What does FINANCIAL ENGINEERING mean? FINANCIAL ENGINEERING meaning - FINANCIAL ENGINEERING definition - FINANCIAL ENGINEERING explanation.
Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license.
Financial engineering is a multidisciplinary field involving financial theory, the methods of engineering, the tools of mathematics and the practice of programming. It has also been defined as the application of technical methods, especially from mathematical finance and computational finance, in the practice of finance. Despite its name, financial engineering does not belong to any of the fields in traditional engineering even though many financial engineers have studied engineering beforehand and many universities offering a postgraduate degree in this field require applicants to have a background in engineering as well. In theUnited States, the Accreditation Board for Engineering and Technology (ABET) does not accredit financial engineering degrees. In the United States, financial engineering programs are accredited by the International Association of Quantitative Finance.
Financial engineering draws on tools from applied mathematics, computer science, statistics and economic theory. In broadest definition, anyone who uses technical tools in finance could be called a financial engineer, for example any computer programmer in a bank or any statistician in a government economic bureau. However, most practitioners restrict the term to someone educated in the full range of tools of modern finance and whose work is informed by financial theory. It is sometimes restricted even further, to cover only those originating new financial products and strategies. Financial engineering plays a key role in the customer-driven derivatives business which encompasses quantitative modelling and programming, trading and risk managing derivative products in compliance with the regulations and Basel capital/liquidity requirements.
The financial engineering program at New York UniversityPolytechnic School of Engineering was the first curriculum to be certified by the International Association of Financial Engineers.
Computational finance and mathematical finance are both subfields of financial engineering. Computational finance is a field in computer science and deals with the data and algorithms that arise in financial modeling. Mathematical finance is the application of theoretical mathematics to finance.
Quant is a broad term that covers any person who uses math for practical purposes, including financial engineers. Quant is often taken to mean “financial quant,” in which case it is similar to financial engineer. The difference is that it is possible to be a theoretical quant, or a quant in only one specialized niche in finance, while “financial engineer” usually implies a practitioner with broad expertise.
“Rocket scientist” is an older term reserved for the first generation of financial quants who arrived on Wall Street in the late 1970s and early 1980s. While basically synonymous with financial engineer, it implies adventurousness and fondness for disruptive innovation. Rocket scientists were usually trained in applied mathematics, statistics or finance; and spent their entire careers in risk-taking. They were not hired for their mathematical talents, they either worked for themselves or applied mathematical techniques to traditional financial jobs. The later generation of financial engineers were more likely to have PhDs in mathematics or physics and often started their careers in academics or non-financial fields.
The first degree programs in financial engineering were set up in the early 1990s. The number and size of programs has grown rapidly, so now some people use the term “financial engineer” to mean someone who has a degree in the field.
An older use of the term "financial engineering" that is less common today is aggressive restructuring of corporate balance sheets. It is generally (but not always) a disparaging term, implying that someone is profiting from paper games at the expense of employees and investors.

What isFINANCIAL ENGINEERING? What does FINANCIAL ENGINEERING mean? FINANCIAL ENGINEERING meaning - FINANCIAL ENGINEERING definition - FINANCIAL ENGINEERING explanation.
Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license.
Financial engineering is a multidisciplinary field involving financial theory, the methods of engineering, the tools of mathematics and the practice of programming. It has also been defined as the application of technical methods, especially from mathematical finance and computational finance, in the practice of finance. Despite its name, financial engineering does not belong to any of the fields in traditional engineering even though many financial engineers have studied engineering beforehand and many universities offering a postgraduate degree in this field require applicants to have a background in engineering as well. In theUnited States, the Accreditation Board for Engineering and Technology (ABET) does not accredit financial engineering degrees. In the United States, financial engineering programs are accredited by the International Association of Quantitative Finance.
Financial engineering draws on tools from applied mathematics, computer science, statistics and economic theory. In broadest definition, anyone who uses technical tools in finance could be called a financial engineer, for example any computer programmer in a bank or any statistician in a government economic bureau. However, most practitioners restrict the term to someone educated in the full range of tools of modern finance and whose work is informed by financial theory. It is sometimes restricted even further, to cover only those originating new financial products and strategies. Financial engineering plays a key role in the customer-driven derivatives business which encompasses quantitative modelling and programming, trading and risk managing derivative products in compliance with the regulations and Basel capital/liquidity requirements.
The financial engineering program at New York UniversityPolytechnic School of Engineering was the first curriculum to be certified by the International Association of Financial Engineers.
Computational finance and mathematical finance are both subfields of financial engineering. Computational finance is a field in computer science and deals with the data and algorithms that arise in financial modeling. Mathematical finance is the application of theoretical mathematics to finance.
Quant is a broad term that covers any person who uses math for practical purposes, including financial engineers. Quant is often taken to mean “financial quant,” in which case it is similar to financial engineer. The difference is that it is possible to be a theoretical quant, or a quant in only one specialized niche in finance, while “financial engineer” usually implies a practitioner with broad expertise.
“Rocket scientist” is an older term reserved for the first generation of financial quants who arrived on Wall Street in the late 1970s and early 1980s. While basically synonymous with financial engineer, it implies adventurousness and fondness for disruptive innovation. Rocket scientists were usually trained in applied mathematics, statistics or finance; and spent their entire careers in risk-taking. They were not hired for their mathematical talents, they either worked for themselves or applied mathematical techniques to traditional financial jobs. The later generation of financial engineers were more likely to have PhDs in mathematics or physics and often started their careers in academics or non-financial fields.
The first degree programs in financial engineering were set up in the early 1990s. The number and size of programs has grown rapidly, so now some people use the term “financial engineer” to mean someone who has a degree in the field.
An older use of the term "financial engineering" that is less common today is aggressive restructuring of corporate balance sheets. It is generally (but not always) a disparaging term, implying that someone is profiting from paper games at the expense of employees and investors.

Financial Engineering Examples

ZACH DE GREGORIO, CPA
www.WolvesAndFinance.com
In this video, I am going to walk through two examples that are a little bit more advanced. This video is really...

ZACH DE GREGORIO, CPA
www.WolvesAndFinance.com
In this video, I am going to walk through two examples that are a little bit more advanced. This video is really about giving you insight into what is possible with Accounting and Corporate Finance.
But before we jump into the example, I want to talk a little bit more about the name. Financial Engineering. This term came about, because somebody decided to combine the words “Finance” and “Engineering” to create Financial Engineering. And the whole idea here is that Finance professionals can design a company the same way an Engineering designs a machine.
Now I bring up the term, because unfortunately, Financial Engineering has developed a negative connotation. Because what most people see, is finance professionals walking into a company somewhere. And what these financial professionals do, is radically restructure the financial statements. So they take the financial statements and flip them around, and turn them inside out, and restructure the company. And when the financial professionals walk out, the stock price doubles. However, nothing about the operations of the company has actually changed. The only thing that is different is these pieces of paper. In fact, these changes on pieces of paper are actually creating a lot of value for everyone involved in the company, and that is what I’m going to explain. I explain an example of restructuring a company. Your accounting is a product. You are selling this accounting product to investors. You need to be as thoughtful with the accounting you are presenting to your investors, as you are with the product you are presenting to your customers. I know that a lot of business owners spend a lot of time thinking about whether their products are meeting their customer’s needs. Well you have to also think whether your accounting is meeting your investor’s needs.
Now there are a couple of warnings to this example. I am not advocating that you split every business apart. Please be aware these examples are not one-size fits all. Every business is different, so you have to be very thoughtful about Financial Engineering. There might be very good reasons to keep the business together rather than split it apart. Second, I make this sound very easy, and this is not easy at all. At the very least, you are going to have to go through your last three years of accounting records and split apart the two businesses. This is not an easy task.
Now you might think to yourself, my company is too small, this doesn’t apply to me. But if you understand financial engineering, you can think 10 years ahead and set up your accounting to get the biggest bang for your buck when your company is large enough.
A massive company restructuring is a dramatic example of Financial Engineering. Let me switch to a more common example. Pricing. Pricing is a very difficult topic. A lot of businesses set their pricing with their gut. However, pricing can be done more effectively by taking a methodical financial engineering approach, and using advanced mathematics and statistics to set your prices. And in fact, this is what most major companies do. You can set up mathematical models. You can use statistics. You can use algorithms programmed into computer software to help you in your pricing decisions.
So these are just two examples of Financial Engineering. More and more, this is what accounting looks like at the highest levels. Financial Engineering is about using all the financial tools and techniques at your disposal, to create the most value in our businesses.
Neither Zach De Gregorio or Wolves and Finance Inc. shall be liable for any damages related to information in this video. It is recommended you contact a CPA in your area for business advice.

ZACH DE GREGORIO, CPA
www.WolvesAndFinance.com
In this video, I am going to walk through two examples that are a little bit more advanced. This video is really about giving you insight into what is possible with Accounting and Corporate Finance.
But before we jump into the example, I want to talk a little bit more about the name. Financial Engineering. This term came about, because somebody decided to combine the words “Finance” and “Engineering” to create Financial Engineering. And the whole idea here is that Finance professionals can design a company the same way an Engineering designs a machine.
Now I bring up the term, because unfortunately, Financial Engineering has developed a negative connotation. Because what most people see, is finance professionals walking into a company somewhere. And what these financial professionals do, is radically restructure the financial statements. So they take the financial statements and flip them around, and turn them inside out, and restructure the company. And when the financial professionals walk out, the stock price doubles. However, nothing about the operations of the company has actually changed. The only thing that is different is these pieces of paper. In fact, these changes on pieces of paper are actually creating a lot of value for everyone involved in the company, and that is what I’m going to explain. I explain an example of restructuring a company. Your accounting is a product. You are selling this accounting product to investors. You need to be as thoughtful with the accounting you are presenting to your investors, as you are with the product you are presenting to your customers. I know that a lot of business owners spend a lot of time thinking about whether their products are meeting their customer’s needs. Well you have to also think whether your accounting is meeting your investor’s needs.
Now there are a couple of warnings to this example. I am not advocating that you split every business apart. Please be aware these examples are not one-size fits all. Every business is different, so you have to be very thoughtful about Financial Engineering. There might be very good reasons to keep the business together rather than split it apart. Second, I make this sound very easy, and this is not easy at all. At the very least, you are going to have to go through your last three years of accounting records and split apart the two businesses. This is not an easy task.
Now you might think to yourself, my company is too small, this doesn’t apply to me. But if you understand financial engineering, you can think 10 years ahead and set up your accounting to get the biggest bang for your buck when your company is large enough.
A massive company restructuring is a dramatic example of Financial Engineering. Let me switch to a more common example. Pricing. Pricing is a very difficult topic. A lot of businesses set their pricing with their gut. However, pricing can be done more effectively by taking a methodical financial engineering approach, and using advanced mathematics and statistics to set your prices. And in fact, this is what most major companies do. You can set up mathematical models. You can use statistics. You can use algorithms programmed into computer software to help you in your pricing decisions.
So these are just two examples of Financial Engineering. More and more, this is what accounting looks like at the highest levels. Financial Engineering is about using all the financial tools and techniques at your disposal, to create the most value in our businesses.
Neither Zach De Gregorio or Wolves and Finance Inc. shall be liable for any damages related to information in this video. It is recommended you contact a CPA in your area for business advice.

Talk by Dr. Emanuel Derman, Professor at Columbia University, and author of "My Life As A Quant" and "Models.Behaving.Badly: Why Confusing Illusion with Reality Can Lead to Disasters, On Wall Street and in Life." From QuantCon NYC 2016.
Neoclassical finance has been with us for over half a century, and its methods have become somewhat uncritically ingrained in the minds of quants. From mean-variance optimization to options theory to behavioral finance, Dr. Derman will discuss which of these ideas work better, and which don’t.
To learn more about Quantopian, visit us at: https://www.quantopian.com.
-------
Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice.
More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian.
In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.

Talk by Dr. Emanuel Derman, Professor at Columbia University, and author of "My Life As A Quant" and "Models.Behaving.Badly: Why Confusing Illusion with Reality Can Lead to Disasters, On Wall Street and in Life." From QuantCon NYC 2016.
Neoclassical finance has been with us for over half a century, and its methods have become somewhat uncritically ingrained in the minds of quants. From mean-variance optimization to options theory to behavioral finance, Dr. Derman will discuss which of these ideas work better, and which don’t.
To learn more about Quantopian, visit us at: https://www.quantopian.com.
-------
Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice.
More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian.
In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.

Interest Rate Modelling Financial Engineering

Financial Engineering and Arbitrage in the Financial Markets

published: 24 May 2018

Real Estate Derivatives From Econometrics to Financial Engineering

published: 24 May 2018

FINANCIAL ENGINEERING: STOCK INDEX FUTURES

-- Created using PowToon -- Freesign up at http://www.powtoon.com/youtube/ -- Create animated videos and animated presentations for free. PowToon is a free tool that allows you to develop cool animated clips and animated presentations for your website, office meeting, sales pitch, nonprofit fundraiser, product launch, video resume, or anything else you could use an animated explainer video. PowToon's animation templates help you create animated presentations and animated explainer videos from scratch. Anyone can produce awesome animations quickly with PowToon, without the cost or hassle other professional animation services require.

201801 Financial Engineering Hyejeong Lee

Can Financial Engineering Cure Cancer?: New Business Models for Funding Biomedical Innovation

Presented by ProfessorAndrew Lo,
Charles E. and Susan T. Harris Professor at the MIT Sloan School of Management
Professor of Finance, Director of the MIT Laboratory for Financial EngineeringAbstract:
Funding for biomedical innovation has been declining at the same time that medical breakthroughs seem to be occurring at ever increasing rates. One explanation for this counterintuitive trend is that increasing scientific knowledge can actually lead to greater economic risk for investors in the life sciences. While the impact of the Human Genome Project, high-throughput screening, and genetic biomarkers has been tremendously positive for clinicians and their patients, it has also increased the cost and complexity of the drug and device development process, causing investors to shift their...

One Period Binomial: Financial Engineering Method

One of the hardest parts of financial engineering is connecting the theory to the math. Most students just memorize the math but ignore the theory. In the previous video I show the simplest method for calculating a one period binomial for a call option however we ignore P and Q which have theoretical concepts. The formulas used here will also help optimize programming discrete time in a multi period binomial.
If you found this video helpful please SUBSCRIBE for more content like this!

FINANCIAL ENGINEERING: STOCK INDEX FUTURES

-- Created using PowToon -- Freesign up at http://www.powtoon.com/youtube/ -- Create animated videos and animated presentations for free. PowToon is a free to...

-- Created using PowToon -- Freesign up at http://www.powtoon.com/youtube/ -- Create animated videos and animated presentations for free. PowToon is a free tool that allows you to develop cool animated clips and animated presentations for your website, office meeting, sales pitch, nonprofit fundraiser, product launch, video resume, or anything else you could use an animated explainer video. PowToon's animation templates help you create animated presentations and animated explainer videos from scratch. Anyone can produce awesome animations quickly with PowToon, without the cost or hassle other professional animation services require.

-- Created using PowToon -- Freesign up at http://www.powtoon.com/youtube/ -- Create animated videos and animated presentations for free. PowToon is a free tool that allows you to develop cool animated clips and animated presentations for your website, office meeting, sales pitch, nonprofit fundraiser, product launch, video resume, or anything else you could use an animated explainer video. PowToon's animation templates help you create animated presentations and animated explainer videos from scratch. Anyone can produce awesome animations quickly with PowToon, without the cost or hassle other professional animation services require.

Presented by ProfessorAndrew Lo,
Charles E. and Susan T. Harris Professor at the MIT Sloan School of Management
Professor of Finance, Director of the MIT Laboratory for Financial EngineeringAbstract:
Funding for biomedical innovation has been declining at the same time that medical breakthroughs seem to be occurring at ever increasing rates. One explanation for this counterintuitive trend is that increasing scientific knowledge can actually lead to greater economic risk for investors in the life sciences. While the impact of the Human Genome Project, high-throughput screening, and genetic biomarkers has been tremendously positive for clinicians and their patients, it has also increased the cost and complexity of the drug and device development process, causing investors to shift their assets to more attractive investment opportunities. In this talk, Prof. Lo will describe how new business models and financing strategies----portfolio theory, public/private partnerships, risk analytics, and other tools of modern finance---can be used to reduce the risk and increase the attractiveness of biomedical innovation so as bring new therapies to patients faster.

Presented by ProfessorAndrew Lo,
Charles E. and Susan T. Harris Professor at the MIT Sloan School of Management
Professor of Finance, Director of the MIT Laboratory for Financial EngineeringAbstract:
Funding for biomedical innovation has been declining at the same time that medical breakthroughs seem to be occurring at ever increasing rates. One explanation for this counterintuitive trend is that increasing scientific knowledge can actually lead to greater economic risk for investors in the life sciences. While the impact of the Human Genome Project, high-throughput screening, and genetic biomarkers has been tremendously positive for clinicians and their patients, it has also increased the cost and complexity of the drug and device development process, causing investors to shift their assets to more attractive investment opportunities. In this talk, Prof. Lo will describe how new business models and financing strategies----portfolio theory, public/private partnerships, risk analytics, and other tools of modern finance---can be used to reduce the risk and increase the attractiveness of biomedical innovation so as bring new therapies to patients faster.

One Period Binomial: Financial Engineering Method

One of the hardest parts of financial engineering is connecting the theory to the math. Most students just memorize the math but ignore the theory. In the previ...

One of the hardest parts of financial engineering is connecting the theory to the math. Most students just memorize the math but ignore the theory. In the previous video I show the simplest method for calculating a one period binomial for a call option however we ignore P and Q which have theoretical concepts. The formulas used here will also help optimize programming discrete time in a multi period binomial.
If you found this video helpful please SUBSCRIBE for more content like this!

One of the hardest parts of financial engineering is connecting the theory to the math. Most students just memorize the math but ignore the theory. In the previous video I show the simplest method for calculating a one period binomial for a call option however we ignore P and Q which have theoretical concepts. The formulas used here will also help optimize programming discrete time in a multi period binomial.
If you found this video helpful please SUBSCRIBE for more content like this!

Can Financial Engineering Cure Cancer? | Andrew Lo | TEDxCambridge

We are making breakthroughs almost weekly in our understanding of cancer and other deadly diseases, both in how to treat and – in some cases – how to cure them. So why is funding for early stage biomedical research and development declining just when we need it most? One answer is that the financial risk of drug development has increased, and investors don’t like risk. What if we could reduce the risk and increase the reward through financial engineering? By applying tools like portfolio theory, securitization, and derivative securities to construct “megafunds” that invest in many biomedical projects, we can tap into the power of global financial markets to raise billions of dollars. If structured properly, investors can earn attractive returns with tolerable levels of risk, and many more ...

Talk by Dr. Emanuel Derman, Professor at Columbia University, and author of "My Life As A Quant" and "Models.Behaving.Badly: Why Confusing Illusion with Reality Can Lead to Disasters, On Wall Street and in Life." From QuantCon NYC 2016.
Neoclassical finance has been with us for over half a century, and its methods have become somewhat uncritically ingrained in the minds of quants. From mean-variance optimization to options theory to behavioral finance, Dr. Derman will discuss which of these ideas work better, and which don’t.
To learn more about Quantopian, visit us at: https://www.quantopian.com.
-------
Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice.
More specifically, the material is provided for infor...

published: 10 Mar 2017

Quantitative Finance & Python Programming | Yves Hilpisch

EP 084: Quantitative finance and programming trading strategies w/ Yves Hilpisch, The Python Quants
Dr. Yves Hilpisch is the founder of The Python Quants.
TPQ do a lot of good for those involved in quantitative finance, they; frequently host meet-ups and workshops, have developed platforms and analytics libraries, and often contract to exchanges, banks and hedge funds for custom Python development.
Yves is also a three-time published author, with his most notable title probably being “Python for Finance” which was released through O’Reilly. He regularly gives presentations and speaks at events on the subject of quant finance, and lectures at Universities too.
Over the next sixty minutes, you’ll hear us unpack many subjects related to being a quant and why programming in Python can be a...

published: 14 Aug 2016

Keiser Report: Financial Engineering (E684)

In this episode of the Keiser Report, Max Keiser and Stacy Herbert discuss the fact that there are no fundamentals, only financial engineering which is too bad for a real world with a real environment and real people who need to eat. In the second half Max interviews author and journalist, Robert Chalmers, about the corporate lynching of Gary Webb, the journalist who uncovered the CIA’s role in the drugs trade.
WATCH all Keiser Report shows here:
http://www.youtube.com/playlist?list=PL768A33676917AE90 (E1-E200)
http://www.youtube.com/playlist?list=PLC3F29DDAA1BABFCF (E201-E400)
http://www.youtube.com/playlist?list=PLPszygYHA9K2ZtV_1KphSugBB7iZqbFyz (E401-600)
http://www.youtube.com/playlist?list=PLPszygYHA9K1GpAv3ZKpNFoEvKaY2QFH_ (E601-current)
RT LIVE http://rt.com/on-air
Subscribe to...

Can Financial Engineering Cure Cancer?: New Business Models for Funding Biomedical Innovation

Presented by ProfessorAndrew Lo,
Charles E. and Susan T. Harris Professor at the MIT Sloan School of Management
Professor of Finance, Director of the MIT Laboratory for Financial EngineeringAbstract:
Funding for biomedical innovation has been declining at the same time that medical breakthroughs seem to be occurring at ever increasing rates. One explanation for this counterintuitive trend is that increasing scientific knowledge can actually lead to greater economic risk for investors in the life sciences. While the impact of the Human Genome Project, high-throughput screening, and genetic biomarkers has been tremendously positive for clinicians and their patients, it has also increased the cost and complexity of the drug and device development process, causing investors to shift their...

Prof. Andrew W. Lo on Can Financial Engineering Cure Cancer? - SFI

Howard Morgan, venture capitalist, philanthropist, and angel investor, gives commencement speech to 2017 BerkeleyMaster of Financial Engineering (MFE), http://mfe.berkeley.edu/, graduates. “This is best financial engineering program in the nation. And you are just at the start of an exciting career at a time when big data, deep learning, and changes in financial regulation that are going to affect the financial world in the next decades.”

Can Financial Engineering Cure Cancer? | Andrew Lo | TEDxCambridge

We are making breakthroughs almost weekly in our understanding of cancer and other deadly diseases, both in how to treat and – in some cases – how to cure them....

We are making breakthroughs almost weekly in our understanding of cancer and other deadly diseases, both in how to treat and – in some cases – how to cure them. So why is funding for early stage biomedical research and development declining just when we need it most? One answer is that the financial risk of drug development has increased, and investors don’t like risk. What if we could reduce the risk and increase the reward through financial engineering? By applying tools like portfolio theory, securitization, and derivative securities to construct “megafunds” that invest in many biomedical projects, we can tap into the power of global financial markets to raise billions of dollars. If structured properly, investors can earn attractive returns with tolerable levels of risk, and many more patients can get the drugs they desperately need. Finance doesn’t have to be a zero-sum game; we can do well by doing good if we have sufficient scale.
Andrew W. Lo is the Charles E. and Susan T. HarrisProfessor at the MIT Sloan School of Management, the director of MIT’s Laboratory for Financial Engineering, a principal investigator at MIT’s Computer Science and Artificial Intelligence Lab, and an affiliated faculty member of the MIT Department of Electrical Engineering and Computer Science.
Andrew is the author of five books and over 100 research articles. His early work showed that stock market prices do not follow random walks, as many economic theories imply, but contain predictable components that can be identified and exploited to manage risk and improved expected returns. Since then, his research has spanned many other areas, including: the econometrics of hedge funds; mathematical and statistical models of systemic risk in the financial system; evolutionary models of human behavior; and, most recently, applying financial engineering to fund biomedical innovation more efficiently.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx

We are making breakthroughs almost weekly in our understanding of cancer and other deadly diseases, both in how to treat and – in some cases – how to cure them. So why is funding for early stage biomedical research and development declining just when we need it most? One answer is that the financial risk of drug development has increased, and investors don’t like risk. What if we could reduce the risk and increase the reward through financial engineering? By applying tools like portfolio theory, securitization, and derivative securities to construct “megafunds” that invest in many biomedical projects, we can tap into the power of global financial markets to raise billions of dollars. If structured properly, investors can earn attractive returns with tolerable levels of risk, and many more patients can get the drugs they desperately need. Finance doesn’t have to be a zero-sum game; we can do well by doing good if we have sufficient scale.
Andrew W. Lo is the Charles E. and Susan T. HarrisProfessor at the MIT Sloan School of Management, the director of MIT’s Laboratory for Financial Engineering, a principal investigator at MIT’s Computer Science and Artificial Intelligence Lab, and an affiliated faculty member of the MIT Department of Electrical Engineering and Computer Science.
Andrew is the author of five books and over 100 research articles. His early work showed that stock market prices do not follow random walks, as many economic theories imply, but contain predictable components that can be identified and exploited to manage risk and improved expected returns. Since then, his research has spanned many other areas, including: the econometrics of hedge funds; mathematical and statistical models of systemic risk in the financial system; evolutionary models of human behavior; and, most recently, applying financial engineering to fund biomedical innovation more efficiently.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx

Talk by Dr. Emanuel Derman, Professor at Columbia University, and author of "My Life As A Quant" and "Models.Behaving.Badly: Why Confusing Illusion with Reality Can Lead to Disasters, On Wall Street and in Life." From QuantCon NYC 2016.
Neoclassical finance has been with us for over half a century, and its methods have become somewhat uncritically ingrained in the minds of quants. From mean-variance optimization to options theory to behavioral finance, Dr. Derman will discuss which of these ideas work better, and which don’t.
To learn more about Quantopian, visit us at: https://www.quantopian.com.
-------
Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice.
More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian.
In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.

Talk by Dr. Emanuel Derman, Professor at Columbia University, and author of "My Life As A Quant" and "Models.Behaving.Badly: Why Confusing Illusion with Reality Can Lead to Disasters, On Wall Street and in Life." From QuantCon NYC 2016.
Neoclassical finance has been with us for over half a century, and its methods have become somewhat uncritically ingrained in the minds of quants. From mean-variance optimization to options theory to behavioral finance, Dr. Derman will discuss which of these ideas work better, and which don’t.
To learn more about Quantopian, visit us at: https://www.quantopian.com.
-------
Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice.
More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian.
In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.

EP 084: Quantitative finance and programming trading strategies w/ Yves Hilpisch, The Python Quants
Dr. Yves Hilpisch is the founder of The Python Quants.
TPQ do a lot of good for those involved in quantitative finance, they; frequently host meet-ups and workshops, have developed platforms and analytics libraries, and often contract to exchanges, banks and hedge funds for custom Python development.
Yves is also a three-time published author, with his most notable title probably being “Python for Finance” which was released through O’Reilly. He regularly gives presentations and speaks at events on the subject of quant finance, and lectures at Universities too.
Over the next sixty minutes, you’ll hear us unpack many subjects related to being a quant and why programming in Python can be a useful skill to have in your toolbox.
- - - - - -
LINKS
- - - - - -
· More interviews: https://chatwithtraders.com
· Free resources: https://chatwithtraders.com/resources
· Twitter: https://twitter.com/chatwithtraders
· Facebook: http://facebook.com/chatwithtraders
· Instagram: https://instagram.com/chatwithtraders_
· Soundcloud: https://soundcloud.com/chat-with-traders
· Stitcher: http://www.stitcher.com/podcast/chat-with-traders

EP 084: Quantitative finance and programming trading strategies w/ Yves Hilpisch, The Python Quants
Dr. Yves Hilpisch is the founder of The Python Quants.
TPQ do a lot of good for those involved in quantitative finance, they; frequently host meet-ups and workshops, have developed platforms and analytics libraries, and often contract to exchanges, banks and hedge funds for custom Python development.
Yves is also a three-time published author, with his most notable title probably being “Python for Finance” which was released through O’Reilly. He regularly gives presentations and speaks at events on the subject of quant finance, and lectures at Universities too.
Over the next sixty minutes, you’ll hear us unpack many subjects related to being a quant and why programming in Python can be a useful skill to have in your toolbox.
- - - - - -
LINKS
- - - - - -
· More interviews: https://chatwithtraders.com
· Free resources: https://chatwithtraders.com/resources
· Twitter: https://twitter.com/chatwithtraders
· Facebook: http://facebook.com/chatwithtraders
· Instagram: https://instagram.com/chatwithtraders_
· Soundcloud: https://soundcloud.com/chat-with-traders
· Stitcher: http://www.stitcher.com/podcast/chat-with-traders

In this episode of the Keiser Report, Max Keiser and Stacy Herbert discuss the fact that there are no fundamentals, only financial engineering which is too bad for a real world with a real environment and real people who need to eat. In the second half Max interviews author and journalist, Robert Chalmers, about the corporate lynching of Gary Webb, the journalist who uncovered the CIA’s role in the drugs trade.
WATCH all Keiser Report shows here:
http://www.youtube.com/playlist?list=PL768A33676917AE90 (E1-E200)
http://www.youtube.com/playlist?list=PLC3F29DDAA1BABFCF (E201-E400)
http://www.youtube.com/playlist?list=PLPszygYHA9K2ZtV_1KphSugBB7iZqbFyz (E401-600)
http://www.youtube.com/playlist?list=PLPszygYHA9K1GpAv3ZKpNFoEvKaY2QFH_ (E601-current)
RT LIVE http://rt.com/on-air
Subscribe to RT! http://www.youtube.com/subscription_center?add_user=RussiaToday
Like us on Facebook http://www.facebook.com/RTnews
Follow us on Twitter http://twitter.com/RT_com
Follow us on Instagram http://instagram.com/rt
Follow us on Google+ http://plus.google.com/+RT
Listen to us on Soundcloud: https://soundcloud.com/rttv
RT (Russia Today) is a global news network broadcasting from Moscow and Washington studios. RT is the first news channel to break the 1 billion YouTube views benchmark.

In this episode of the Keiser Report, Max Keiser and Stacy Herbert discuss the fact that there are no fundamentals, only financial engineering which is too bad for a real world with a real environment and real people who need to eat. In the second half Max interviews author and journalist, Robert Chalmers, about the corporate lynching of Gary Webb, the journalist who uncovered the CIA’s role in the drugs trade.
WATCH all Keiser Report shows here:
http://www.youtube.com/playlist?list=PL768A33676917AE90 (E1-E200)
http://www.youtube.com/playlist?list=PLC3F29DDAA1BABFCF (E201-E400)
http://www.youtube.com/playlist?list=PLPszygYHA9K2ZtV_1KphSugBB7iZqbFyz (E401-600)
http://www.youtube.com/playlist?list=PLPszygYHA9K1GpAv3ZKpNFoEvKaY2QFH_ (E601-current)
RT LIVE http://rt.com/on-air
Subscribe to RT! http://www.youtube.com/subscription_center?add_user=RussiaToday
Like us on Facebook http://www.facebook.com/RTnews
Follow us on Twitter http://twitter.com/RT_com
Follow us on Instagram http://instagram.com/rt
Follow us on Google+ http://plus.google.com/+RT
Listen to us on Soundcloud: https://soundcloud.com/rttv
RT (Russia Today) is a global news network broadcasting from Moscow and Washington studios. RT is the first news channel to break the 1 billion YouTube views benchmark.

Presented by ProfessorAndrew Lo,
Charles E. and Susan T. Harris Professor at the MIT Sloan School of Management
Professor of Finance, Director of the MIT Laboratory for Financial EngineeringAbstract:
Funding for biomedical innovation has been declining at the same time that medical breakthroughs seem to be occurring at ever increasing rates. One explanation for this counterintuitive trend is that increasing scientific knowledge can actually lead to greater economic risk for investors in the life sciences. While the impact of the Human Genome Project, high-throughput screening, and genetic biomarkers has been tremendously positive for clinicians and their patients, it has also increased the cost and complexity of the drug and device development process, causing investors to shift their assets to more attractive investment opportunities. In this talk, Prof. Lo will describe how new business models and financing strategies----portfolio theory, public/private partnerships, risk analytics, and other tools of modern finance---can be used to reduce the risk and increase the attractiveness of biomedical innovation so as bring new therapies to patients faster.

Presented by ProfessorAndrew Lo,
Charles E. and Susan T. Harris Professor at the MIT Sloan School of Management
Professor of Finance, Director of the MIT Laboratory for Financial EngineeringAbstract:
Funding for biomedical innovation has been declining at the same time that medical breakthroughs seem to be occurring at ever increasing rates. One explanation for this counterintuitive trend is that increasing scientific knowledge can actually lead to greater economic risk for investors in the life sciences. While the impact of the Human Genome Project, high-throughput screening, and genetic biomarkers has been tremendously positive for clinicians and their patients, it has also increased the cost and complexity of the drug and device development process, causing investors to shift their assets to more attractive investment opportunities. In this talk, Prof. Lo will describe how new business models and financing strategies----portfolio theory, public/private partnerships, risk analytics, and other tools of modern finance---can be used to reduce the risk and increase the attractiveness of biomedical innovation so as bring new therapies to patients faster.

Howard Morgan, venture capitalist, philanthropist, and angel investor, gives commencement speech to 2017 BerkeleyMaster of Financial Engineering (MFE), http://mfe.berkeley.edu/, graduates. “This is best financial engineering program in the nation. And you are just at the start of an exciting career at a time when big data, deep learning, and changes in financial regulation that are going to affect the financial world in the next decades.”

Howard Morgan, venture capitalist, philanthropist, and angel investor, gives commencement speech to 2017 BerkeleyMaster of Financial Engineering (MFE), http://mfe.berkeley.edu/, graduates. “This is best financial engineering program in the nation. And you are just at the start of an exciting career at a time when big data, deep learning, and changes in financial regulation that are going to affect the financial world in the next decades.”

What is Financial Engineering?

ZACH DE GREGORIO
www.WolvesAndFinance.com
So to start off, what is financial engineering? It is using financial tools and techniques to make your resources more effective. Now that sounds a little vague, so I’m going to give you three key concepts that make this very simple to understand.
Concept 1: Everyone exists on a scale of financial maturity
So there is a scale, and on one end is low financial maturity and on the other end is high financial maturity. Let’s start on the low end. The starting point when you talk about finances is cash. A business that uses only cash. What is one tool you can use to better manage your cash? You could use a budget. A budget is a financial tool, to help you better track and manage your money. And by putting a budget in place, you have just taken a step up in financial maturity. And this continues on. You can have a checking account and savings account. You can have investment plans. You can have insurance. You can have a credit card. That increases your overall buying power. You can have a business loan. You can have annual audited financial statements. You can have internal controls. You can issue stock. You can use financial derivatives. This isn’t a comprehensive list and I’m not going to go through all of these. I just want to give you an idea, that there is this scale of financial maturity, from low to high.
Concept 2: Everyone can always improve their financial maturity
I don’t care what business you are, you can always improve to higher levels of maturity. You might be in a large business or a small business. It doesn’t matter. See if you can identify where you fall on the scale of financial maturity, and what tools and techniques you can use to take the next step. And I’m not advocating that every business should leap frog all the way to a super mature accounting department. That might not be right for your business. What I am saying is to always be aware of the next step to push your business forward.
Concept 3 is the reason why.
Concept 3: Increasing financial maturity improves your resource effectiveness
This means more money. The farther along you are on the scale of financial maturity, you make more money. Let’s go back to the example of moving from cash to using a budget. When you start managing your money better, each dollar you have is going to become more effective. It’s like you have more money, because your cash is no longer flying around everywhere. And the same concept goes for all the other tools. Credit cards increase your buying power. Derivatives mitigate risk and free up capital. All these tools are designed to give you more money.
Concept 4: Everyone can do financial engineering.
When people hear the phrase “financial engineering” they get intimidated. They don’t know what it means. It seems scary. Finance and accounting are really confusing. But here is the thing. You are already doing it. You are somewhere on this scale. So I always encourage people to go out and learn as much as you can about this stuff. Everyone can do it. And the reward, is more money.
So I also have a message specifically for accountants. This is one of those areas where you can really add value to your organization as an accountant. If you look at your organization and identify where you sit on this scale of financial maturity. You can then find ways to push your organization to higher levels, and that will really add value to your business.
Neither Zach De Gregorio or Wolves and Finance Inc. shall be liable for any damages related to information in this video. It is recommended you contact a CPA in your area for business advice.

5:43

Is Financial Engineering program for Me? In 5 minutes

What kind of people does financial engineering program look for?
What skills and backgrou...

Is Financial Engineering program for Me? In 5 minutes

What kind of people does financial engineering program look for?
What skills and background I should have in order to apply?
How should I prepare in order to have a better chance?
Does my personality match?
Related video: Financial Engineering explained in 5 minutes
https://www.youtube.com/watch?v=XU1am_cc2Rc

5:30

Financial engineering explained in 5 minutes

What is financial engineering?
What do financial engineers do?
Why financial crisis?
Want...

Financial engineering explained in 5 minutes

What is financial engineering?
What do financial engineers do?
Why financial crisis?
Want to see how to prepare for a master's program in financial engineering? Plz go here:
https://www.youtube.com/watch?v=bpSTah-1FP8

20:30

Can Financial Engineering Cure Cancer? | Andrew Lo | TEDxCambridge

We are making breakthroughs almost weekly in our understanding of cancer and other deadly ...

Can Financial Engineering Cure Cancer? | Andrew Lo | TEDxCambridge

We are making breakthroughs almost weekly in our understanding of cancer and other deadly diseases, both in how to treat and – in some cases – how to cure them. So why is funding for early stage biomedical research and development declining just when we need it most? One answer is that the financial risk of drug development has increased, and investors don’t like risk. What if we could reduce the risk and increase the reward through financial engineering? By applying tools like portfolio theory, securitization, and derivative securities to construct “megafunds” that invest in many biomedical projects, we can tap into the power of global financial markets to raise billions of dollars. If structured properly, investors can earn attractive returns with tolerable levels of risk, and many more patients can get the drugs they desperately need. Finance doesn’t have to be a zero-sum game; we can do well by doing good if we have sufficient scale.
Andrew W. Lo is the Charles E. and Susan T. HarrisProfessor at the MIT Sloan School of Management, the director of MIT’s Laboratory for Financial Engineering, a principal investigator at MIT’s Computer Science and Artificial Intelligence Lab, and an affiliated faculty member of the MIT Department of Electrical Engineering and Computer Science.
Andrew is the author of five books and over 100 research articles. His early work showed that stock market prices do not follow random walks, as many economic theories imply, but contain predictable components that can be identified and exploited to manage risk and improved expected returns. Since then, his research has spanned many other areas, including: the econometrics of hedge funds; mathematical and statistical models of systemic risk in the financial system; evolutionary models of human behavior; and, most recently, applying financial engineering to fund biomedical innovation more efficiently.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx

4:30

What is FINANCIAL ENGINEERING? What does FINANCIAL ENGINEERING mean? FINANCIAL ENGINEERING meaning

What is FINANCIAL ENGINEERING? What does FINANCIAL ENGINEERING mean? FINANCIAL ENGINEERING...

What is FINANCIAL ENGINEERING? What does FINANCIAL ENGINEERING mean? FINANCIAL ENGINEERING meaning

What isFINANCIAL ENGINEERING? What does FINANCIAL ENGINEERING mean? FINANCIAL ENGINEERING meaning - FINANCIAL ENGINEERING definition - FINANCIAL ENGINEERING explanation.
Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license.
Financial engineering is a multidisciplinary field involving financial theory, the methods of engineering, the tools of mathematics and the practice of programming. It has also been defined as the application of technical methods, especially from mathematical finance and computational finance, in the practice of finance. Despite its name, financial engineering does not belong to any of the fields in traditional engineering even though many financial engineers have studied engineering beforehand and many universities offering a postgraduate degree in this field require applicants to have a background in engineering as well. In theUnited States, the Accreditation Board for Engineering and Technology (ABET) does not accredit financial engineering degrees. In the United States, financial engineering programs are accredited by the International Association of Quantitative Finance.
Financial engineering draws on tools from applied mathematics, computer science, statistics and economic theory. In broadest definition, anyone who uses technical tools in finance could be called a financial engineer, for example any computer programmer in a bank or any statistician in a government economic bureau. However, most practitioners restrict the term to someone educated in the full range of tools of modern finance and whose work is informed by financial theory. It is sometimes restricted even further, to cover only those originating new financial products and strategies. Financial engineering plays a key role in the customer-driven derivatives business which encompasses quantitative modelling and programming, trading and risk managing derivative products in compliance with the regulations and Basel capital/liquidity requirements.
The financial engineering program at New York UniversityPolytechnic School of Engineering was the first curriculum to be certified by the International Association of Financial Engineers.
Computational finance and mathematical finance are both subfields of financial engineering. Computational finance is a field in computer science and deals with the data and algorithms that arise in financial modeling. Mathematical finance is the application of theoretical mathematics to finance.
Quant is a broad term that covers any person who uses math for practical purposes, including financial engineers. Quant is often taken to mean “financial quant,” in which case it is similar to financial engineer. The difference is that it is possible to be a theoretical quant, or a quant in only one specialized niche in finance, while “financial engineer” usually implies a practitioner with broad expertise.
“Rocket scientist” is an older term reserved for the first generation of financial quants who arrived on Wall Street in the late 1970s and early 1980s. While basically synonymous with financial engineer, it implies adventurousness and fondness for disruptive innovation. Rocket scientists were usually trained in applied mathematics, statistics or finance; and spent their entire careers in risk-taking. They were not hired for their mathematical talents, they either worked for themselves or applied mathematical techniques to traditional financial jobs. The later generation of financial engineers were more likely to have PhDs in mathematics or physics and often started their careers in academics or non-financial fields.
The first degree programs in financial engineering were set up in the early 1990s. The number and size of programs has grown rapidly, so now some people use the term “financial engineer” to mean someone who has a degree in the field.
An older use of the term "financial engineering" that is less common today is aggressive restructuring of corporate balance sheets. It is generally (but not always) a disparaging term, implying that someone is profiting from paper games at the expense of employees and investors.

Financial Engineering Examples

ZACH DE GREGORIO, CPA
www.WolvesAndFinance.com
In this video, I am going to walk through two examples that are a little bit more advanced. This video is really about giving you insight into what is possible with Accounting and Corporate Finance.
But before we jump into the example, I want to talk a little bit more about the name. Financial Engineering. This term came about, because somebody decided to combine the words “Finance” and “Engineering” to create Financial Engineering. And the whole idea here is that Finance professionals can design a company the same way an Engineering designs a machine.
Now I bring up the term, because unfortunately, Financial Engineering has developed a negative connotation. Because what most people see, is finance professionals walking into a company somewhere. And what these financial professionals do, is radically restructure the financial statements. So they take the financial statements and flip them around, and turn them inside out, and restructure the company. And when the financial professionals walk out, the stock price doubles. However, nothing about the operations of the company has actually changed. The only thing that is different is these pieces of paper. In fact, these changes on pieces of paper are actually creating a lot of value for everyone involved in the company, and that is what I’m going to explain. I explain an example of restructuring a company. Your accounting is a product. You are selling this accounting product to investors. You need to be as thoughtful with the accounting you are presenting to your investors, as you are with the product you are presenting to your customers. I know that a lot of business owners spend a lot of time thinking about whether their products are meeting their customer’s needs. Well you have to also think whether your accounting is meeting your investor’s needs.
Now there are a couple of warnings to this example. I am not advocating that you split every business apart. Please be aware these examples are not one-size fits all. Every business is different, so you have to be very thoughtful about Financial Engineering. There might be very good reasons to keep the business together rather than split it apart. Second, I make this sound very easy, and this is not easy at all. At the very least, you are going to have to go through your last three years of accounting records and split apart the two businesses. This is not an easy task.
Now you might think to yourself, my company is too small, this doesn’t apply to me. But if you understand financial engineering, you can think 10 years ahead and set up your accounting to get the biggest bang for your buck when your company is large enough.
A massive company restructuring is a dramatic example of Financial Engineering. Let me switch to a more common example. Pricing. Pricing is a very difficult topic. A lot of businesses set their pricing with their gut. However, pricing can be done more effectively by taking a methodical financial engineering approach, and using advanced mathematics and statistics to set your prices. And in fact, this is what most major companies do. You can set up mathematical models. You can use statistics. You can use algorithms programmed into computer software to help you in your pricing decisions.
So these are just two examples of Financial Engineering. More and more, this is what accounting looks like at the highest levels. Financial Engineering is about using all the financial tools and techniques at your disposal, to create the most value in our businesses.
Neither Zach De Gregorio or Wolves and Finance Inc. shall be liable for any damages related to information in this video. It is recommended you contact a CPA in your area for business advice.

Talk by Dr. Emanuel Derman, Professor at Columbia University, and author of "My Life As A Quant" and "Models.Behaving.Badly: Why Confusing Illusion with Reality Can Lead to Disasters, On Wall Street and in Life." From QuantCon NYC 2016.
Neoclassical finance has been with us for over half a century, and its methods have become somewhat uncritically ingrained in the minds of quants. From mean-variance optimization to options theory to behavioral finance, Dr. Derman will discuss which of these ideas work better, and which don’t.
To learn more about Quantopian, visit us at: https://www.quantopian.com.
-------
Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice.
More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian.
In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.

3:09

NYU Tandon MS in Financial Engineering: Overview

Introduction to the NYU Tandon Department of Finance & Risk Engineering and the MS Program...

Financial engineering draws on tools from applied mathematics, computer science, statistics and economic theory.
In broadest definition, anyone who uses technical tools in finance could be called a financial engineer, for example any computer programmer in a bank or any statistician in a government economic bureau. However, most practitioners restrict the term to someone educated in the full range of tools of modern finance and whose work is informed by financial theory. It is sometimes restricted even further, to cover only those originating new financial products and strategies.

If you are an aspiring engineer and need guidance to choose your area of study, you can turn to this team of engineers in the city ... where you will get to know more about various engineering disciplines....

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A Japanese flight was forced to turn around after an engine issue caused numerous metal parts to fall from the airplane into the surrounding neighborhood ... The agency also said that the engine was vibrating....

FINANCIAL ENGINEERING: STOCK INDEX FUTURES

-- Created using PowToon -- Freesign up at http://www.powtoon.com/youtube/ -- Create animated videos and animated presentations for free. PowToon is a free tool that allows you to develop cool animated clips and animated presentations for your website, office meeting, sales pitch, nonprofit fundraiser, product launch, video resume, or anything else you could use an animated explainer video. PowToon's animation templates help you create animated presentations and animated explainer videos from scratch. Anyone can produce awesome animations quickly with PowToon, without the cost or hassle other professional animation services require.

Can Financial Engineering Cure Cancer?: New Business Models for Funding Biomedical Innovation

Presented by ProfessorAndrew Lo,
Charles E. and Susan T. Harris Professor at the MIT Sloan School of Management
Professor of Finance, Director of the MIT Laboratory for Financial EngineeringAbstract:
Funding for biomedical innovation has been declining at the same time that medical breakthroughs seem to be occurring at ever increasing rates. One explanation for this counterintuitive trend is that increasing scientific knowledge can actually lead to greater economic risk for investors in the life sciences. While the impact of the Human Genome Project, high-throughput screening, and genetic biomarkers has been tremendously positive for clinicians and their patients, it has also increased the cost and complexity of the drug and device development process, causing investors to shift their assets to more attractive investment opportunities. In this talk, Prof. Lo will describe how new business models and financing strategies----portfolio theory, public/private partnerships, risk analytics, and other tools of modern finance---can be used to reduce the risk and increase the attractiveness of biomedical innovation so as bring new therapies to patients faster.

Can Financial Engineering Cure Cancer? | Andrew Lo | TEDxCambridge

We are making breakthroughs almost weekly in our understanding of cancer and other deadly diseases, both in how to treat and – in some cases – how to cure them. So why is funding for early stage biomedical research and development declining just when we need it most? One answer is that the financial risk of drug development has increased, and investors don’t like risk. What if we could reduce the risk and increase the reward through financial engineering? By applying tools like portfolio theory, securitization, and derivative securities to construct “megafunds” that invest in many biomedical projects, we can tap into the power of global financial markets to raise billions of dollars. If structured properly, investors can earn attractive returns with tolerable levels of risk, and many more patients can get the drugs they desperately need. Finance doesn’t have to be a zero-sum game; we can do well by doing good if we have sufficient scale.
Andrew W. Lo is the Charles E. and Susan T. HarrisProfessor at the MIT Sloan School of Management, the director of MIT’s Laboratory for Financial Engineering, a principal investigator at MIT’s Computer Science and Artificial Intelligence Lab, and an affiliated faculty member of the MIT Department of Electrical Engineering and Computer Science.
Andrew is the author of five books and over 100 research articles. His early work showed that stock market prices do not follow random walks, as many economic theories imply, but contain predictable components that can be identified and exploited to manage risk and improved expected returns. Since then, his research has spanned many other areas, including: the econometrics of hedge funds; mathematical and statistical models of systemic risk in the financial system; evolutionary models of human behavior; and, most recently, applying financial engineering to fund biomedical innovation more efficiently.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx

Talk by Dr. Emanuel Derman, Professor at Columbia University, and author of "My Life As A Quant" and "Models.Behaving.Badly: Why Confusing Illusion with Reality Can Lead to Disasters, On Wall Street and in Life." From QuantCon NYC 2016.
Neoclassical finance has been with us for over half a century, and its methods have become somewhat uncritically ingrained in the minds of quants. From mean-variance optimization to options theory to behavioral finance, Dr. Derman will discuss which of these ideas work better, and which don’t.
To learn more about Quantopian, visit us at: https://www.quantopian.com.
-------
Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice.
More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian.
In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.

Quantitative Finance & Python Programming | Yves Hilpisch

EP 084: Quantitative finance and programming trading strategies w/ Yves Hilpisch, The Python Quants
Dr. Yves Hilpisch is the founder of The Python Quants.
TPQ do a lot of good for those involved in quantitative finance, they; frequently host meet-ups and workshops, have developed platforms and analytics libraries, and often contract to exchanges, banks and hedge funds for custom Python development.
Yves is also a three-time published author, with his most notable title probably being “Python for Finance” which was released through O’Reilly. He regularly gives presentations and speaks at events on the subject of quant finance, and lectures at Universities too.
Over the next sixty minutes, you’ll hear us unpack many subjects related to being a quant and why programming in Python can be a useful skill to have in your toolbox.
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LINKS
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· More interviews: https://chatwithtraders.com
· Free resources: https://chatwithtraders.com/resources
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· Facebook: http://facebook.com/chatwithtraders
· Instagram: https://instagram.com/chatwithtraders_
· Soundcloud: https://soundcloud.com/chat-with-traders
· Stitcher: http://www.stitcher.com/podcast/chat-with-traders

25:49

Keiser Report: Financial Engineering (E684)

In this episode of the Keiser Report, Max Keiser and Stacy Herbert discuss the fact that t...

Keiser Report: Financial Engineering (E684)

In this episode of the Keiser Report, Max Keiser and Stacy Herbert discuss the fact that there are no fundamentals, only financial engineering which is too bad for a real world with a real environment and real people who need to eat. In the second half Max interviews author and journalist, Robert Chalmers, about the corporate lynching of Gary Webb, the journalist who uncovered the CIA’s role in the drugs trade.
WATCH all Keiser Report shows here:
http://www.youtube.com/playlist?list=PL768A33676917AE90 (E1-E200)
http://www.youtube.com/playlist?list=PLC3F29DDAA1BABFCF (E201-E400)
http://www.youtube.com/playlist?list=PLPszygYHA9K2ZtV_1KphSugBB7iZqbFyz (E401-600)
http://www.youtube.com/playlist?list=PLPszygYHA9K1GpAv3ZKpNFoEvKaY2QFH_ (E601-current)
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RT (Russia Today) is a global news network broadcasting from Moscow and Washington studios. RT is the first news channel to break the 1 billion YouTube views benchmark.

Can Financial Engineering Cure Cancer?: New Business Models for Funding Biomedical Innovation

Presented by ProfessorAndrew Lo,
Charles E. and Susan T. Harris Professor at the MIT Sloan School of Management
Professor of Finance, Director of the MIT Laboratory for Financial EngineeringAbstract:
Funding for biomedical innovation has been declining at the same time that medical breakthroughs seem to be occurring at ever increasing rates. One explanation for this counterintuitive trend is that increasing scientific knowledge can actually lead to greater economic risk for investors in the life sciences. While the impact of the Human Genome Project, high-throughput screening, and genetic biomarkers has been tremendously positive for clinicians and their patients, it has also increased the cost and complexity of the drug and device development process, causing investors to shift their assets to more attractive investment opportunities. In this talk, Prof. Lo will describe how new business models and financing strategies----portfolio theory, public/private partnerships, risk analytics, and other tools of modern finance---can be used to reduce the risk and increase the attractiveness of biomedical innovation so as bring new therapies to patients faster.

46:46

John Drzik: Financial engineering and operations research

John Drzik, president of the management consulting firm Oliver Wyman, discusses the globa...

MAH00617: GGU SF2017: Financial Engineering MREPT/...

Webinar: Master of Actuarial and Financial Enginee...

MAH00616: GGU SF2017: Financial Engineering MREPT/...

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